Data Orchestration: The Missing Link for Industrial AI in Pharma Manufacturing
Date: Thursday, August 20, 2026
Time: 2:00 PM (GMT-04:00) Eastern Time - New York
Duration: 60 minutes
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Manufacturers are generating unprecedented volumes of data across design, production, maintenance, and operations. Yet the challenge is no longer access to data—it is transforming data into actionable intelligence that drives measurable business outcomes and accelerates Digital Transformation.
Industrial AI adoption depends on a robust data orchestration architecture that connects OT and IT systems, workflows, events, and business processes into a trusted operational context. By enabling Digital Threads across the manufacturing lifecycle, organizations can establish the context required to connect engineering, operations, maintenance, and business functions. With the right foundation, AI becomes more than an analytics tool; it becomes a scalable enabler of Smart Manufacturing, delivering faster decisions, improved asset performance, higher quality, greater throughput, and operational agility.
This webinar explores how data orchestration and production orchestration work together to transform disconnected data and AI insights into coordinated actions across the manufacturing value chain. Through real-world examples in predictive maintenance, production optimization, quality management, and operational decision support, discover how manufacturers are building adaptive, learning operations while maintaining governance, security, and human oversight.
Join us to explore:
- How does data orchestration create the context required for Industrial AI to deliver business value across Smart Manufacturing operations?
- What architectural foundations enable Industrial AI to scale across manufacturing operations while supporting Digital Transformation initiatives?
- How can AI and production orchestration turn insights into coordinated actions and measurable outcomes across the Digital Thread?
- How are manufacturers evolving from reactive automation to predictive and prescriptive operations?
- How can governance, security, and human oversight accelerate AI adoption and trust?
Francis Vatakencherry
Xcelerator Deployment, Customer Journey Manager
Siemens
Francis Vatakencherry brings over 30 years of industry and solution domain experience across discrete and process manufacturing. As a customer journey leader at Siemens, he partners with manufacturers to meet them where they are and guide pragmatic digital transformation. His work focuses on closed loop digital twins, AI driven asset intelligence, and IT/OT convergence—turning operational data into continuous optimization across engineering and operations. Francis has led end to end digital transformation initiatives with Fortune 500 companies, delivering measurable improvements in performance, reliability, and sustainability through smart, connected factory outcomes.
Genaro Quiroz
Genaro Quiroz Solutions Architect
Siemens
Genaro Quiroz is a Solutions Architect at Siemens focused on predictive maintenance and smart manufacturing. A former U.S. Navy submarine engineer, he applies AI and automation expertise to help manufacturers move from reactive maintenance to proactive, data-driven operations.